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04-05-2021 | Empirical Research

How Early Stressful Life Experiences Combine With Adolescents’ Conjoint Health Risk Trajectories to Influence Cardiometabolic Disease Risk in Young Adulthood

Auteurs: Tae Kyoung Lee, Kandauda A. S. Wickrama, Catherine Walker O’Neal

Gepubliceerd in: Journal of Youth and Adolescence | Uitgave 6/2021

Abstract

Research has primarily focused on additive (unique) associations between early stressful life experiences (specifically, socioeconomic adversity and maltreatment) and young adults’ cardiometabolic disease risk without considering multiplicative (synergistic) influences. Furthermore, research has not fully considered the varying patterns of health risk trajectories (e.g., substance use, obesogenic-related behaviors, depressive symptoms) across adolescence and the transition to young adulthood that may link earlier stressful experiences and later cardiometabolic disease risk. This study examined heterogeneity in conjoint health risk trajectories from adolescence to the transition to young adulthood and their additive and multiplicative (synergistic) influences with early stressful life experiences on cardiometabolic disease risk in young adulthood using data from the National Longitudinal Study of Adolescent to Adult Health (n = 9,421; 55.6% female) over a period of 13 years. Four distinct conjoint health risk trajectories were identified considering trajectories of substance use behaviors, obesogenic-related behaviors, and depressive symptoms: (a) overall high-risk, (b) behavioral risks, (c) psycho-obesogenic risks, and (d) overall low-risk. Socioeconomic adversity and maltreatment were additively and multiplicatively associated with cardiometabolic disease risk in young adulthood. Individuals with overall high-risk conjoint trajectories averaged higher cardiometabolic disease risk in young adulthood when they were exposed to early socioeconomic adversity. Implications for personalized interventions for individuals who have experienced multiple forms of health risks are discussed.

vorige artikel Social Withdrawal and Aloneliness in Adolescence: Examining the Implications of Too Much and Not Enough Solitude

volgende artikel Peer Victimization Exposure and Subsequent Substance Use in Early Adolescence: The Role of Sleep Problems

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Addington, J., & Duchak, V. (1997). Reasons for substance use in schizophrenia. Acta Psychiatrica Scandivica, 96, 329–333. https://doi.org/10.1111/j.1600-0447.1997.tb09925.x.CrossRef

Adkins, D. E., Daw, J. K., Mcclay, J. L., & Van den Oord, E. J. C. G. (2012). The influence of five monoamine genes on trajectories of depressive symptoms across adolescence and young adulthood. Development and Psychopathology, 24, 267–285. https://doi.org/10.1017/s0954579411000824.CrossRefPubMedPubMedCentral

Aiken, L. S., & West, S. G. (1991). Multiple regression: testing and interpreting interactions. Newbury Park, CA: Sage Publications.

Arnett, J. J. (2000). Emerging adulthood: a theory of development from the late teens through the twenties. American Psychologist, 55, 469–480. https://doi.org/10.1037/0003-066x.55.5.469.CrossRefPubMed

Audrain-McGovern, J., Rodríguez, D., & Moss, H. (2003). Smoking progression and physical activity. Cancer Epidemiology Biomarkers & Prevention, 12, 1121–1129.

Barboza, G. E. (2018). Latent classes and cumulative impacts of adverse childhood experiences. Child Maltreatment, 23, 111–125. https://doi.org/10.1177/1077559517736628.CrossRefPubMed

Benner, A. D., & Wang, Y. (2015). Adolescent substance use: the role of demographic marginalization and socioemotional distress. Developmental Psychology, 51, 1086–1097. https://doi.org/10.1037/dev0000026.CrossRefPubMedPubMedCentral

Berk, L. E. (2010). Exploring lifespan development. Boston: Allyn and Bacon.

Blain, S. D., Sasseen, T. A., Xi, M., Zhao, D., & DeYoung, C. C. (2020). Extraversion but not depression predicts reward sensitivity: Revisiting the measurement of anhedonic phenotypes. Journal of Personality and Social Psychology. Advance online publication. https://doi.org/10.1037/pspp0000371.

Brody, G. H., Yu, T., Chen, Y., Kogan, S. M., Evans, G. W., & Beach, S. R. H., et al. (2013). Cumulative socioeconomic status risk, allostatic load, and adjustment: A prospective latent profile analysis with contextual and genetic protective factors. Developmental Psychology, 49, 913–927. https://doi.org/10.1037/a0028847.CrossRefPubMed

Bronfenbrenner, U. (1979). The ecology of human development: experiments in nature and design. Cambridge, MA: Harvard University Press.

Cicchetti, D. & & Toth, S. L. (1995). A developmental psychopathology perspective on child abuse and neglect. Journal of the American Academy of Child & Adolescent Psychiatry, 34(5), 541–565. https://doi.org/10.1097/00004583-199505000-00008.CrossRef

Cockerham, W. C. (2013). Bourdieu and an Update of Health Lifestyle Theory. In Cockerham W. (Ed). Medical Sociology on the Move (pp. 127-54). Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6193-3_7.

Daw, J., Margolis, R., & Wright, L. (2017). Emerging adulthood, emergent health lifestyles: sociodemographic determinants of trajectories of smoking, binge drinking, obesity, and sedentary behavior. Journal of Health and Social Behavior, 58, 181–197. https://doi.org/10.1177/0022146517702421.CrossRefPubMedPubMedCentral

Doom, J. R., Mason, S. M., Suglia, S. F., & Clark, C. J. (2017). Pathways between childhood /adolescent adversity, adolescent socioeconomic status, and long-term cardiovascular disease risk in young adulthood. Social Science & Medicine, 188, 166–175. https://doi.org/10.1016/j.socscimed.2017.06.044.CrossRef

Enders, C. K., & Bandalos, D. L. (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling, 8, 430–457. https://doi.org/10.1207/s15328007sem0803_5.CrossRef

Evan, G. W., Li, D., & Whipple, S. S. (2013). Cumulative risk and child development. Psychological Bulletin, 139, 1342–1396. https://doi.org/10.1037/a0031808.CrossRef

Frech, A. (2012). Healthy behavior trajectories between adolescence and young adulthood. Advances in Life Course Research, 17(752), 59–68. https://doi.org/10.1016/j.alcr.2012.01.003.CrossRefPubMedPubMedCentral

Grant, B. F., Stinson, F. S., Dawson, D. A., Chou, P., Dufour, M. C., Pickering, R. P., & Kaplan, K. (2004). Prevalence and co-occurrence of substance use disorders and independent mood and anxiety disorders. Archives of General Psychiatry Abbreviation, 61, 807–816. https://doi.org/10.1001/archpsyc.61.8.807.CrossRef

Gearhardt, A. N., Harrison, E. L. R., & McKee, S. A. (2012). Does co-morbid depression alter the inverse relationship between obesity and substance use disorders? Drug and Alcohol Dependence, 124, 185–188. https://doi.org/10.1016/j.drugalcdep.2012.01.002.CrossRefPubMedPubMedCentral

Hentges, R. F., Shaw, D. S., & Wang, M. (2018). Early childhood parenting and child impulsivity as precursors to aggression, substance use, and risky sexual behavior in adolescence and early adulthood. Development and Psychopathology, 30, 1305–1319. https://doi.org/10.1017/S0954579417001596.CrossRefPubMed

Hirshkowitz, M., Whiton, K., Albert, S. M., Alessi, C., Bruni, O., & DonCarlos, L., et al. (2015). The National Sleep Foundation’s sleep time duration recommendations: Methodology and results summary. Sleep Health, 1, 40–43. https://doi.org/10.1016/j.sleh.2014.12.010.CrossRefPubMed

Horan, J. M., & Widom, C. S. (2015). Cumulative childhood risk and adult functioning in abused and neglected children grown up. Development and Psychopathology, 27, 927–941. https://doi.org/10.1017/s095457941400090x.CrossRefPubMed

Hostinar, C. E., Lachman, M. E., Mroczek, D. K., Seeman, T. E., & Miller, G. E. (2015). Additive contributions of childhood adversity and recent stressors to inflammation at midlife: findings from the MIDUS study. Developmental Psychology, 51, 1630–1644. https://doi.org/10.1037/dev0000049.CrossRefPubMedPubMedCentral

Howe, G. W. (2019). Preventive effect heterogeneity: causal inference in personalized prevention. Prevention Science, 20, 21–29. https://doi.org/10.1007/s11121-017-0826-9.CrossRefPubMed

Hume, C., Timperio, A., Veitch, J., Salmon, J., Crawford, D., & Ball, K. (2011). Physical activity, sedentary behavior, and depressive symptoms among adolescents. Journal of Physical Activity & Health, 8, 152–156. https://doi.org/10.1123/jpah.8.2.152.CrossRef

Isasi, C. R., Ostrovsky, N. W., & Wills, T. A. (2013). The association of emotion regulation with lifestyle behaviors in inner-city adolescents. Eating Behaviors, 14, 518–521. https://doi.org/10.1016/j.eatbeh.2013.07.009.CrossRefPubMed

Jones, N. L., Gilman, S. E., Cheng, T. L., Drury, S. S., Hill, C. V., & Geronimus, A. T. (2019). Life course approaches to the causes of health disparities. American Journal of Public Health, 109(Suppl 1), S48–S55. https://doi.org/10.2105/ajph.2018.304738.CrossRefPubMedPubMedCentral

Kinra, S., Nelder, R. P., & Lewendon, G. J. (2000). Deprivation and childhood obesity: a cross sectional study of 20973 children in Plymouth, United Kingdom. Journal of Epidemiology & Community Health, 54, 456–460. https://doi.org/10.1136/jech.54.6.456.CrossRef

Kuh, D., Ben-Shlomo, Y., Lynch, J., Hallqvist, J., & Power, C. (2003). Life course epidemiology. Journal of Epidemiology and Community Health, 57, 778–783. https://doi.org/10.1136/jech.57.10.778.CrossRefPubMedPubMedCentral

Laceulle, O. M., Veenstra, R., Vollebergh, W. A. M., & Ormel, J. (2019). Sequences of maladaptation: preadolescent self-regulation, adolescent negative social interactions, and young adult psychopathology. Development and Psychopathology, 31, 279–292. https://doi.org/10.1017/s0954579417001808.CrossRefPubMed

Lawrence, E. M., Mollborn, S., & Hummer, R. A. (2017). Health lifestyles across the transition to adulthood: Implication for health. Social Science & Medicine, 193, 23–32. https://doi.org/10.1016/j.socscimed.2017.09.041.CrossRef

Lee, T. K., Wickrama, K. A. S., & O’Neal, C. W. (2019). Early socioeconomic adversity and cardiometabolic risk in young adults: Mediating roles of risky health lifestyle and depressive symptoms. Journal of Behavioral Medicine, 42, 150–161. https://doi.org/10.1007/s10865-018-9952-5.CrossRefPubMed

Lee, T. K., Wickrama, K. A. S., Kwon, J. A., Lorenz, F. O., & Oshri, A. (2017). Antecedents of transition patterns of depressive symptoms trajectories from adolescence to young adulthood. British Journal of Developmental Psychology, 35, 498–515. https://doi.org/10.1111/bjdp.12189.CrossRefPubMed

Leeb, R. T., Paulozzi, L. J.,Melanson, C., Simon, T. R., &Arias, I. (2008). Child maltreatment surveillance: Uniform definitions for public health and recommended data elements, version 1.0. Atlanta, GA: Centers for Disease Control and Prevention, National Center for Injury Prevention and Control. Retrieved from https://www.cdc.gov/violenceprevention/pdf/cm_surveillance-a.pdfhttps://doi.org/10.1037/e587022010-001.

Little, R. J. A. (1988). A test of missing completely at random for multivariate data with missing values. Journal of the American Statistical Association, 83, 1198–1202. https://doi.org/10.1080/01621459.1988.10478722.CrossRef

Loxton, N. J. (2018). The role of reward sensitivity and impulsivity in overeating and food addiction. Current Addiction Reports, 5, 212–222. https://doi.org/10.1007/s40429-018-0206-y.CrossRef

McLafferty, M., O’Neill, S., Murphy, S., Armour, C., Ferry, F., & Bunting, B. (2018). The moderating impact of childhood adversity profiles and conflict on psychological health and suicidal behavior in the Northern Ireland population. Psychiatry Research, 262, 213–220. https://doi.org/10.1016/j.psychres.2018.02.024.CrossRefPubMed

McLaughlin, K. A., & Sheridan, M. A. (2016). Beyond cumulative risk: A dimensional approach to childhood adversity. Current Directions in Psychological Science, 25, 239–245. https://doi.org/10.1177/0963721416655883.CrossRefPubMedPubMedCentral

Miller, G. E., Chen, E., & Parker, K. J. (2011). Psychological stress in childhood and susceptibility to the chronic disease of aging: Moving toward a model of behavioral and biological mechanisms. Psychological Bulletin, 137, 959–997. https://doi.org/10.1037/a0024768.CrossRefPubMedPubMedCentral

Muthén, L. K., & Muthén, B. O. (2017). Mplus User’s Guide. Eighth Edition Los Angeles, CA: Muthén & Muthén.

Nylund, K., Belmore, A., Nishina, A., & Graham, S. (2007). Subtypes, severity, and structural stability of peer victimization: What does latent class analysis say? Child Development, 78, 1706–1722. https://doi.org/10.1111/j.1467-8624.2007.01097.x.CrossRefPubMed

Oshri, A., Kogan, S., Kwon, J., Wickrama, K., Vanderbroek, L., Palmer, A., & MacKillop, J. (2018). Impulsivity as a mechanism linking child abuse and neglect with substance use in adolescence and adulthood. Development and Psychopathology, 30, 417–435. https://doi.org/10.1017/S0954579417000943.CrossRefPubMed

Patrick, M. E., Wightman, P., Schoeni, R. F., & Schulenberg, J. E. (2012). Socioeconomic status and substance use among young adults: A comparison across constructs and drugs. Journal of Studies on Alcohol and Drugs, 73, 772–782. https://doi.org/10.15288/jsad.2012.73.772.CrossRefPubMedPubMedCentral

Pickering, R. P., Goldstein, R. B., Hasin, D. S., Blanco, C., Smith, S. M., & Grant, B. F. (2011). Temporal relationships between overweight and obesity and DSM-IV substance use, mood, and anxiety disorders: Results from a prospective study, the National Epidemiologic Survey on Alcohol and Related Conditions. The Journal of Clinical Psychiatry, 73, 1494–1502. https://doi.org/10.4088/jcp.10m06077gry.CrossRef

Radloff, L. S. (1977). The CES-D: A self-report depression scale for research in the general population. Applied Psychological Measurement, 3, 385–401. https://doi.org/10.1177/014662167700100306.CrossRef

Rodriguez, V. J., Chahine, A., Parrish, M. S., Alcaide, M. L., Lee, T. K., Hurwitz, B., Sawhney, M., Weiss, S. M., Jones, D. L., & Kumar, M. (2020). The contribution of syndemic conditions to cardiovascular disease risk. AIDS Care, 13, 1–9. https://doi.org/10.1080/09540121.2020.1761518.CrossRef

Saydah, S., Bullard, K. M., Imperatore, G., Geiss, L., & Gregg, E. W. (2013). Cardiometabolic risk factors among US adolescents and young adults and risk of early mortality. Pediatrics, 31, e679–e686. https://doi.org/10.1542/peds.2012-2583.CrossRef

Scheidell, J. D., Quinn, K., McGorray, S. P., Frueh, B. C., Beharie, N. N., & Cottler, L. B., et al. (2018). Childhood traumatic experiences and the association with marijuana and cocaine use in adolescence through adulthood. Addiction, 113, 44–56. https://doi.org/10.1111/add.13921.CrossRefPubMed

Sittner, K. J. (2016). Trajectories of substance use: onset and adverse outcomes among North American Indigenous adolescents. Journal of Research on Adolescence, 26, 830–844. https://doi.org/10.1111/jora.12233.CrossRefPubMed

Spence, C. (2017). Breakfast: The most important meal of the day? International Journal of Gastronomy and Food Science, 8, 1–6. https://doi.org/10.1016/j.ijgfs.2017.01.003.CrossRef

Tsai, A. C., Mendenhall, E., Trostle, J. A., & Kawachi, I. (2017). Co-occurring epidemics, syndemics, and population health. The Lancet, 389, 978–982. https://doi.org/10.1016/s0140-6736(17)30403-8.CrossRef

UNICEF. (2011). The state of the world’s children 2011. Retrieved from https://www.unicef.org/sowc2011/pdfs/SOWC-2011-Executive-Summary-LoRes_EN_12132010.pdf

Wickrama, K. A. S., Bae, D., & O’Neal, C. W. (2017). Explaining the association between early adversity and young adults’ diabetes outcomes: Physiological, psychological, and behavioral mechanisms. Journal of Youth and Adolescence, 46, 2407–2420. https://doi.org/10.1007/s10964-017-0639-y.CrossRefPubMed

Wickrama, K., Lee, T., & O’Neal, C. (2018). Genetic moderation of multiple pathways linking early cumulative socioeconomic adversity and young adults’ cardiometabolic disease risk. Development and Psychopathology, 30, 165–177. https://doi.org/10.1017/S0954579417000542.CrossRefPubMed

Wickrama, K. A. S., Lee, T. K., O’Neal, C. W., & Lorenz, F. O. (2016). Higher-order growth curves and mixture modeling with Mplus: a practical guide. New York, NY: Routledge. 10.4324/9781315642741.CrossRef

Wickrama, K. A. S., O’Neal, C. W., Lee, T. K., & Wickrama, T. (2015). Early socioeconomic adversity, youth positive development, and young adults’ cardio-metabolic disease risk. Health Psychology, 34, 905–914. https://doi.org/10.1037/hea0000208.CrossRefPubMed

Titel: How Early Stressful Life Experiences Combine With Adolescents’ Conjoint Health Risk Trajectories to Influence Cardiometabolic Disease Risk in Young Adulthood
Auteurs: Tae Kyoung Lee
Kandauda A. S. Wickrama
Catherine Walker O’Neal
Publicatiedatum: 04-05-2021
Uitgeverij: Springer US
Gepubliceerd in: Journal of Youth and Adolescence / Uitgave 6/2021
Print ISSN: 0047-2891
Elektronisch ISSN: 1573-6601
DOI: https://doi.org/10.1007/s10964-021-01440-0

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